AI Safety: Not Optional, Not Later

Abstract

Incidents show that AI safety failures often arise across multiple layers. We present a safety-by-design assurance architecture combining model-level supervision, such as Scientist AI, with system-level controls over scaffolds and harnesses, independent verification, monitoring, and evidence infrastructure, supported by governance for accountability and evidence interoperability.

arXiv commentTo appear in the January 2027 issue of IEEE Software, as an invited article for the new AI and Software Engineering column